National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Twenty three years (1992-2015) weather data of rainfall (mm), Maximum and Minimum temperature (0C), maximum and minimum relative humidity (%) and yield data of rice and wheat crop for 12 districts were used for yield prediction using statistical method under FASAL Project, Department of Agronomy, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur Uttar Pradesh. The regression equation was generated for statistical method using SPSS package. The models were validated using 2 year (2016 and 2017) data. The result indicated that model explained 45 to 73 percent variation in rice crop yield and 49 to 74 percent variation in wheat crop in different districts. The F value 13.53 (Mathura) to 57.20 (Auraiya) variation for rice crop and 11.42 (Agra) to 54.51 (Mainpuri) variation for wheat crop was observed in different districts. The percent standard error was between 90.67 (Farrukhabad) to 217.73 (Auraiya) for rice crop and 153 (Mathura) to 252 (Kanpur Dehat) for wheat crop. This revealed that the models can be used to some extent for yield prediction in different districts of Central Uttar Pradesh.
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